The most advanced location-based mobile advertising technology based on specific geographic shapes.
The most advanced location-based mobile advertising technology based on specific geographic shapes.
Simpli.fi’s geo-fence technology enables marketers to customize audiences through custom targeting shapes with pinpoint precision. Simplil.fi purpose-built a Geo-Fencing technology to solve the common issues with solutions built on mobile ad networks; precision and scale. Through the use of unstructured data and a programmatic infrastructure, Simpli.fi’s performance is unmatched. Each fence can be custom-drawn to target the exact location desired, eliminating waste and unwanted users. No pre-drawn grids here that give you some of what you want and a lot of what you don’t. Simpli.fi’s precise targeting creates more effective, more efficient geo-fencing campaigns.
A virtual geo-fence is traced around an area where the advertiser wants to target customers visiting another physical location (i.e. a competitor’s store, a venue, or a specific part of town, etc.)
Next, a virtual Conversion Zone is traced around one or more of the advertiser’s locations.
When the customer enters the geo-fenced location, they will then be targeted with the advertiser’s ads on their mobile device.
When the customer enters the Conversion Zone with their mobile device and has previously been served the advertiser’s ad, the Conversion Zone recognizes the user and attributes their visit as an offline conversion for the geo-fencing campaign.
Analyze your geo-targeting campaigns in regards to how they are driving traffic to their Conversion Zones with Simpli.fi’s Geo-Conversion Lift calculations. Compare the conversion activity of people who came into the geo-fences were served an ad to those who we captured in the geo-fences but never served an ad to.
Simpli.fi utilizes the Natural Conversion Rate as a baseline rather than a holdout set. This approach is well established statistically and often used in dynamic online application. It does not provide a cause-effect conclusion. Rather, the goal is an A/B comparison similar to A/B testing with the hypothesis, “Is the Natural Conversion Rate different than the Campaign Conversion Rate?” If the only difference in these two groups is seeing your ads or not seeing them, the evidence becomes very powerful that the campaign is driving traffic to your locations.
